- Seoul, Republic of Korea
Highlights
- Pro
Starred repositories
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Stable Diffusion web UI
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
Portable file server with accelerated resumable uploads, dedup, WebDAV, SFTP, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
TradingAgents: Multi-Agents LLM Financial Trading Framework
Official inference framework for 1-bit LLMs
Best Practices on Recommendation Systems
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Minimal reproduction of DeepSeek R1-Zero
Source code for Twitter's Recommendation Algorithm
MicroK8s is a small, fast, single-package Kubernetes for datacenters and the edge.
Fully local web research and report writing assistant
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspi…
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require e…
A Python library for the Docker Engine API
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
This is a ZSH plugin that enables you to use OpenAI's Codex AI in the command line.
A family of open-sourced Mixture-of-Experts (MoE) Large Language Models